Information Retrieval


how-ai-will-become-omnipresent

#artificialintelligence

We had to go through a whole process of development and discovery, and, as a result of computer experts working hand in hand with domain experts over the course of 15 to 20 years, computers and specialized software were developed to suit different needs. Most people now are familiar with conversion rate optimization (CRO), where site operators try to maximize conversions by testing new ideas for design, messaging, user experience, and more. The operator sets parameters and goals, but the AI decides the combination of ideas, always trying to find a better answer and better results against that goal. And just like computerization, AI enablement will only be fully achieved once all of us can be considered AI experts by today's standards.


Extracting Keywords From Short Text - The Ape Machine

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Eventually something dawned on me: If a modern translation method like sequence to sequence neural networks can translate langauges, or give responses learned from a sequence, why can't we just view keywords as a "language" of its own. It seemed like a pretty good idea: Simply train a sequence to sequence neural network on a dataset of short sentences labeled with keywords, and have the network "translate" new sentences to our keyword "language". The only thing left to do from there is to make sure to remove all keywords that are not actually present in the title, although you may want to consider even keeping those in, as you would then be able not only to extract exact keywords from a sentence, once your neural network is trained, but even related keywords. We can now write our sequence to sequence neural network using Pytorch, and in fact simply using the code listed on their tutorial section will do the trick just fine.


EU judges will decide Google's battle with France's CNIL

Daily Mail

EU judges will have to decide whether Alphabet's Google has to remove certain web search results globally to comply with a previous privacy ruling after France's supreme administrative court referred the issue to the top EU court. Google has gone head to head with CNIL, the French data protection authority, over the territorial scope of the so-called'right to be forgotten', which requires the world's biggest search engine to remove inadequate or irrelevant information from web results under searches for people's names. Google (file pic) is battling French data protection authorities over the'right to be forgotten', which requires the tech giant to remove certain information from searches for people's names The tech giant has argued that a balance should be found between the right to privacy and freedom of expression, saying that such removals should not go beyond Europe and into countries with different laws on the subject. The dispute arose after the ECJ ruled in 2014 that search engines such as Google and Microsoft's Bing comply with the'right to be forgotten'.


Artificial Intelligence and Search Engine Trend

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For example Google search understands queries like movies, geography, images etc. Users want to get more information and today's Google search engine cannot provide such information. The cloud is changing the world of computer in a very profound way.The big search engine trend contain three components: For example in real time personalization; companies can improve their customer experience. These are missing in today's search engine technology.


artificial-intelligence-and-search-engine-trend

#artificialintelligence

For example Google search understands queries like movies, geography, images etc. Users want to get more information and today's Google search engine cannot provide such information. The cloud is changing the world of computer in a very profound way.The big search engine trend contain three components: For example in real time personalization; companies can improve their customer experience. These are missing in today's search engine technology.


For eBay, AI is ride or die

#artificialintelligence

So another big bet was born: Investment in AI technologies like natural language understanding, computer vision, and semantic search, to drive growth and, Tulsi says, "reinvent the future of commerce." Specifically, how it will impact the primary goal of commerce: understanding consumer buying intent wherever they are, from bricks and mortar to online browsing. It's essentially a multimodal search engine, or a personalized shopping assistant, powered by contextual understanding, predictive modeling, and machine learning. They need to start investing in commerce capabilities or partnering with commerce companies to really make their assistant pan out from a financial model perspective.


Music, AI and Health: What is Music Information Retrieval?

#artificialintelligence

Sync Project has made products like Sync Music Bot and Unwind using cutting-edge music technology with the aim to develop personalized music as medicine. Let's take a look at Music Information Retrieval, the technological "glue" that allows us to synthesize advances in AI, music production and licensed music distribution to derive insights into music listening behavior and physiology. By breaking up the song into its individual frequency components and analyzing the present frequency spectrum across the entire audible range (20Hz-20kHz), a computer can determine song characteristics such as tempo, energy, and mood. When provided with pre-classified genre examples, software can also compare and contrast the frequency characteristics between songs and quickly establish the genre of an unanalyzed song with high accuracy using machine learning techniques.


Artificial Intelligence and the Future of Search Engines

#artificialintelligence

Currently, Google's RankBrain, an AI process used help set search engine rankings, is having a major impact which is only expected to expand. RankBrain considers the user's history for each query which means that more information is used to determine the appropriate search ranking. As a result, I received an advanced assignment to teach 170 Chinese students, between the ages of 5-14 years in conversational English and grammar. These special type of cells remain in your brain your entire life, meaning you are technically capable of forming new brain cells throughout your entire life.


To tackle Google's power, regulators have to go after its ownership of data

The Guardian

It arrives after a lengthy, seven-year investigation into whether the company abused its dominance to promote its own online shopping service above search results. It's true that the combination of search and advertising has given Alphabet an effective way to extract as much data as possible, but this was just an early stage in the company's evolution. Who do you think will pay for smart healthcare powered by Alphabet's artificial intelligence? It's true that a market where a single widget manufacturer controls 80% of all widgets might lead to the abuse of market power; it's also true that a market where five companies control 20% of all widgets might be a better outcome.


how-to-obfuscate?utm_source=RSS_Feed&utm_medium=RSS&utm_campaign=RSS_Syndication

Nautilus

As we will see, some forms of obfuscation generate genuine but misleading signals--much as you would protect the contents of one vehicle by sending it out accompanied by several other identical vehicles, or defend a particular plane by filling the sky with other planes--whereas other forms shuffle genuine signals, mixing data in an effort to make the extraction of patterns more difficult. Responding to calls for accountability, search companies have offered ways to address people's concerns about the collection and storage of search queries, though they continue to collect and analyze logs of such queries.6 Preventing any stream of queries from being inappropriately revealing of a particular person's interests and activities remains a challenge.7 The solution TrackMeNot offers is not to hide users' queries from search engines (an impractical method, in view of the need for query satisfaction), but to obfuscate by automatically generating queries from a "seed list" of terms. Hashtags are useful for organizing the flood of tweets into coherent conversations on specific topics, and #триумфальная (referring to Triumfalnaya, the location of a protest) became one of several tags people could use to vent their anger, express their opinions, and organize further actions. Obviously, these Twitter accounts were "Twitter bots"--programs purporting to be people and generating automatic, targeted messages.